Ruicong Yao

According to our database, Ruicong Yao authored at least 8 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Guided Model Merging for Hybrid Data Learning: Leveraging Centralized Data to Refine Decentralized Models.

Junyi Zhu, Ruicong Yao, Taha Ceritli, Savas Özkan, Matthew B. Blaschko, Eunchung Noh, Jeongwon Min, Cho Jung Min, Mete Ozay

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

2025

Unlocking the Value of Decentralized Data: A Federated Dual Learning Approach for Model Aggregation.

Junyi Zhu, Ruicong Yao, Taha Ceritli, Savas Özkan, Matthew B. Blaschko, Eunchung Noh, Jeongwon Min, Cho Jung Min, Mete Ozay

CoRR, March, 2025

A Powerful Random Forest Featuring Linear Extensions (RaFFLE).

Jakob Raymaekers, Peter J. Rousseeuw, Thomas Servotte, Tim Verdonck, Ruicong Yao

CoRR, February, 2025

Causal discovery in mixed additive noise models.

Ruicong Yao, Tim Verdonck, Jakob Raymaekers

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

Differentiable Causal Structure Learning with Identifiability by NOTIME.

Jeroen Berrevoets, Jakob Raymaekers, Mihaela van der Schaar, Tim Verdonck, Ruicong Yao

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Fast linear model trees by PILOT.

Jakob Raymaekers, Peter J. Rousseeuw, Tim Verdonck, Ruicong Yao

Mach. Learn., September, 2024

Alleviating Exposure Bias in Diffusion Models through Sampling with Shifted Time Steps.

Mingxiao Li, Tingyu Qu, Ruicong Yao, Wei Sun, Marie-Francine Moens

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning.

Junyi Zhu, Ruicong Yao, Matthew B. Blaschko

Proceedings of the International Conference on Machine Learning, 2023